Parcels delivery is a critical activity in railways. More importantly, each parcel must be thoroughly checked and sorted according to its destination address. We require an efficient and robust IoT system capable of doing all of these tasks with great precision and minimal human interaction. This paper discusses, We created a fully-fledged solution using IoT and machine learning to assist trains in performing this operation efficiently. In this study, we covered the product, which consists mostly of two phases. Scanning is the first step, followed by sorting. During the scanning process, the parcel will be passed through three scanners that will look for explosives, drugs, and any dangerous materials in the parcel and will trash it if any of the tests fail. When the scanning step is over, the parcel moves on to the sorting phase, where we use QR codes to retrieve the details of the parcels and sort them properly. The simulation of the system is done using the blender software. Our research shows that our procedure significantly improves accuracy as well as the assessment of cutting-edge technology and existing techniques.

About Indian Railways Indian Railways is the state-owned railway company of India, which is owned and operated by the Indian government. It is the fourth-largest railway network in the world and is responsible for providing transportation services to millions of passengers and freight across the country. Indian Railways was first established in 1853 when the first train ran from Bombay (now Mumbai) to Thane. Since then, it has grown to become a major contributor to the Indian economy, providing employment to over 1.3 million people, facilitating the transportation of goods and people, and promoting tourism. The railway network of Indian Railways is divided into 18 zones, each headed by a general manager. The zones are further divided into divisions, which are responsible for the management of train services and infrastructure in their respective areas.

As the Indian government plans modernisation of railways, the government's plans for the future of technology interactions within railways include internet of things (IoT), big data and artificial intelligence. Speaking at an industry summit in Bhubaneswar, RailTel chairman and managing director Puneet Chawla said the Indian Railways will rely heavily on technology as it focusses on the satisfaction of employees and passengers as well as in train operations to ensure safety, punctuality and line capacity. Chawla said that RailTel was the fifth-largest telecom infrastructure provider in the country and listed examples such as "video walls, WiFi, CCTVs, e-office and computer-based signalling used in railway operations". He said the future of technological engagement with railways could include "IoT platforms, big data and artificial intelligence". The modernisation of Indian railways was part of BJP's 2019 manifesto for Lok Sabha elections.

Most major railway stations in India will use facial recognition to fight crime by the end of 2020, a senior official said, in a move that digital rights campaigners on Tuesday warned could breach people's privacy in the absence of stringent laws. The system is being trialled in the tech hub of Bengaluru where about half a million faces are scanned every day and - using artificial intelligence (AI) - matched against faces stored in a police database of criminals. "The railways will become like a virtual fortress," a senior railways official told the Thomson Reuters Foundation. "Without a physical, brick and mortar boundary wall, we will be able to make the whole system more secure," said the official who declined to be named as he was not authorised to speak to the media. Stretching from the foothills of the Himalayas to sandy southern beaches, India's railway network is one of the biggest in the world, carrying about 23 million people - or the population of Taiwan - every day.

New Delhi: The Railway ministry, Department of Science & Technology and IIT-Kanpur have forged an association on a project on'Industry 4.0', which includes a host of digital technologies like artificial intelligence, Big Data, machine learning and cloud computing. The project will be launched at Modern Coach Factory (MCF), Raebareli. A statement by the ministry of railways said that'Industry 4.0' will be commonly referred as the fourth industrial revolution amid current trend of automation, interconnectivity and data exchange in manufacturing technologies to increase productivity. "Industry 4.0 is a complex Cyber-Physical System which synergises production with digital technologies, the Internet of Things, Artificial Intelligence, Big Data & Analytics, Machine Learning and Cloud Computing," said the statement. MCF, is a state-of-the-art coach manufacturing unit with the capacity to manufacture 1,000 passenger coaches annually.

Trains are part-and-parcel of every day lives in countries with large, diverse, multi-lingual population like India. Consequently, an assistant which can accurately predict and explain train delays will help people and businesses alike. We present a novel conversation agent which can engage with people about train status and inform them about its delay at in-line stations. It is trained on past delay data from a subset of trains and generalizes to others.

The Economic Times has reported that Indian Railways will put artificial intelligence to use to manage track maintenance blocks. An official from the railways said that the artificial intelligence technology, which is capable of detecting the condition of railway tracks, would soon be deployed to prepare a repair and replacement calendar. Indian railways accounts its unplanned track maintenance work for its notoriety in the world for its delayed operations. With the use of artificial intelligence, it is expected that at least 90% of trains will run on time since the maintenance work would be planned in advance. The AI will help in creating a calendar according to which the maintenance work can be scheduled beforehand leading to trains running punctually.

While Indian Railways is already using this technique to detect flaws or problems in the signalling system, the national transporter will now reportedly use artificial intelligence (AI) to control air circulation, signages, supervision and maintenance work in the 10.28 km-long tunnel in Imphal, the capital of Manipur. This is part of Indian Railways' 110-km line Jiribam to Imphal project. The Artificial Intelligence system will control air circulation and alert the passenger in case of fire. This tunnel has reportedly a safety spot every 500 meters. "In case of an accident or any mishap, passengers have to go 500 meters into the safety tunnel and through signages find their way out," Yogesh Verma, deputy chief, construction, Northeast Frontier Railway told PTI.

In its ongoing effort to ensure quality food reaches passengers travelling on trains, the Indian Railways has equipped 16 of its base kitchens with high definition CCTVs to track anomalies, in real-time, during the cooking and packaging of meals. The camera feed is routed to an Artificial Intelligence module set up at IRCTC's headquarters in New Delhi. A member of the Railways Board visited IRCTC's first surveillance-oriented intelligence kitchen control room in New Delhi on Tuesday morning. M Jamshed, member (traffic), was given a tour of the central control, from where authorities can monitor kitchens. The move comes following a Comptroller and Auditor General audit report last July, which termed food served in railways "unsuitable" for human consumption.